| Autor: |
Patrick Moll, L. Berre, H. Bénichou, N. Girardot, Vincent Guidard, F. Bouyssel, C. Loo, Jean-Frans Mahfouf, C. Payan, D. Raspaud, Philippe Chambon |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) ISBN: 9783030777210 |
| DOI: |
10.1007/978-3-030-77722-7_25 |
| Popis: |
The main features of the 2020 version of global Numerical Weather Prediction (NWP) model ARPEGE run operationally at Meteo-France are described. This spectral model, developed in collaboration with the Integrated Forecasting System (IFS) of ECMWF, has a tilted and rotated horizontal grid that allows to reach a resolution of 5 km over Europe. The initial conditions are provided by an incremental 4D-Var data assimilation system with a 6-hour time window. Two inner-loops are performed respectively at 100 and 40 km. A comprehensive set of observations is assimilated with a dominance of satellite data representing 90% of them. However in terms of information content, conventional observations reach a fractional value of 20%. A 50-member ensemble data assimilation system based on low resolution 4D-Var is used to estimate daily background error covariances. The most recent improvements on this system regarding model resolutions, ensemble size and observation usage, that took place between mid-2019 and mid-2020, are presented with a selection of evaluations in terms of analysis and forecast skill scores. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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